Triple
T1169989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife |
E24891
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Espinheiro
Espinheiro is a central neighborhood in Recife, Brazil, known for its residential areas, commerce, and urban amenities.
|
E139234
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Espinheiro | Statement: [Recife, hasPart, Espinheiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espinheiro Context triple: [Recife, hasPart, Espinheiro]
-
A.
Arruda
Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
-
B.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
C.
Santervás de Campos
Santervás de Campos is a small municipality in the province of Valladolid, Spain, best known as the birthplace of the explorer Juan Ponce de León.
-
D.
Vila Real de Santo António
Vila Real de Santo António is a coastal town and municipality in Portugal’s Algarve region, located at the mouth of the Guadiana River on the border with Spain.
-
E.
Vila Nova de Cacela
Vila Nova de Cacela is a coastal parish in Portugal’s Algarve region known for its historic village and nearby beaches such as Cacela Velha and Manta Rota.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Espinheiro Triple: [Recife, hasPart, Espinheiro]
Generated description
Espinheiro is a central neighborhood in Recife, Brazil, known for its residential areas, commerce, and urban amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Espinheiro Target entity description: Espinheiro is a central neighborhood in Recife, Brazil, known for its residential areas, commerce, and urban amenities.
-
A.
Arruda
Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
-
B.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
C.
Santervás de Campos
Santervás de Campos is a small municipality in the province of Valladolid, Spain, best known as the birthplace of the explorer Juan Ponce de León.
-
D.
Vila Real de Santo António
Vila Real de Santo António is a coastal town and municipality in Portugal’s Algarve region, located at the mouth of the Guadiana River on the border with Spain.
-
E.
Vila Nova de Cacela
Vila Nova de Cacela is a coastal parish in Portugal’s Algarve region known for its historic village and nearby beaches such as Cacela Velha and Manta Rota.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8311ba6481908aaca4c1e9d8b78f |
completed | March 7, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69ac83add3608190be198ba153721d5c |
completed | March 7, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac846e724081909696c8c44f2f9500 |
completed | March 7, 2026, 8:02 p.m. |
Created at: March 1, 2026, 7:45 p.m.